Add training data to YOLO post-training
Assuming that you do have a dataset (images + labels/bounding boxes) in a format that's required by the training model, you can fine-tune your existing model. You can choose to unlock the final few layers or leave all the layers unlocked during the training process. When I had performed such an experiment with RetinaNet I chose to unlock final few conv layers and was able to achieve slightly higher accuracy.